Triple

T15011364
Position Surface form Disambiguated ID Type / Status
Subject NH19 E377843 entity
Predicate hasJunctionWith P1018 FINISHED
Object NH44 E1018637 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: NH44 | Statement: [NH19, hasJunctionWith, NH44]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NH44
Context triple: [NH19, hasJunctionWith, NH44]
  • A. NH44 chosen
    NH44 is one of India’s longest and most important north–south national highways, connecting major cities and states across the country.
  • B. A44
    A44 is a major trunk road in the United Kingdom that runs across central and western England into mid Wales, linking several important towns and regions.
  • C. A449
    A449 is a major road in the United Kingdom that connects the city of Wolverhampton with the town of Newport in South Wales, passing through several key towns along its route.
  • D. S44
    S44 is a Staten Island local bus route in New York City that connects New Springville with other neighborhoods across the borough.
  • E. NM 4
    NM 4 is a state highway in New Mexico that runs through the Jemez Mountains, providing access to scenic landscapes, small communities, and nearby national monuments.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7613cec8190ac25e3f68c5d0edf completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe96a7dcac8190b0153d7cdac03afa completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:55 a.m.